Head of Product

About Us

1mind is a platform that deploys multimodal Superhumans for revenue teams. These
Superhumans combine a face a voice and a GTM brain equipped with deep technical and product knowledge. They can lead unlimited simultaneous conversations 24/7 meeting buyers when theyre most active and engaged. Superhumans qualify leads book meetings deliver pitches give interactive demos handle objections uncover pain points build value models provide support and onboard customers. They live across websites inside your product can join live calls as active participants and work alongside your team in deal rooms. 1mind Superhumans integrate seamlessly into existing workflows scale instantly and drive measurable impact growing revenue reducing headcount accelerating pipeline to closed-won and creating a more delightful buyer experience.

Job Description

Were looking for a Head of Product to own product vision strategy and execution for an AI-native platform at 1mind. This role is for a product leader who has built applied AI systems in production not just shipped features powered by models but designed end-to-end intelligence: context pipelines retrieval systems memory tool orchestration and evaluation loops that make AI reliable useful and controllable.

Youll operate at multiple altitudes: setting long-term product direction for our Superhuman platform translating company strategy into concrete roadmaps and partnering deeply with engineering AI and design to ship real-time multimodal AI experiences. Youll be responsible for how intelligence is composed grounded evaluated and evolved across the product.

As the company scales youll also build and lead the product organization setting the bar for AI-first product thinking execution rigor and customer impact.

Key Responsibilities

• AI-First Product Vision & Strategy

  • Own and articulate the product vision for 1mind as an AI-native system not a traditional SaaS product.

  • Define strategy and roadmap across Superhuman capabilities context & memory systems retrieval and grounding agent workflows and customer-facing experiences.

  • Make principled tradeoffs across model capability latency reliability cost and user control.

• Context Intelligence & Systems Design

  • Lead product direction for how Superhumans understand context: knowledge ingestion RAG pipelines long-term memory session state and dynamic grounding.

  • Partner with AI and engineering to design agent behaviors tool use browser/action execution and multi-step reasoning flows.

  • Drive innovation in how intelligence is composed across voice visual and textual modalities.

• Customer & Use-Case Depth

  • Develop deep empathy for customers using AI in high-stakes GTM and support workflows.

  • Translate real customer pain into concrete AI capabilities that improve outcomes not just demos.

  • Ensure products are explainable debuggable and trustworthy from a customers point of view.

• Execution & Iteration

  • Partner closely with engineering AI and design to turn ambiguous AI problems into shippable products.

  • Ensure strong product execution: clear problem framing scoped bets fast experimentation and disciplined iteration.

  • Balance velocity with correctness in a system where failures are visible and costly.

• Metrics Evaluation & Learning Loops

  • Define success metrics for AI systems: quality reliability latency cost and downstream business impact.

  • Ensure products are instrumented for evaluation feedback and continuous improvement.

  • Build tight loops between production behavior offline evaluation and roadmap decisions.

• Cross-Functional Leadership

  • Serve as the connective tissue between product AI engineering GTM and leadership.

  • Partner with sales and marketing to shape AI capabilities into clear customer value and market narratives.

  • Communicate roadmap tradeoffs and progress with clarity and credibility.

• Team & Culture

  • Build mentor and lead a high-performing product team as the company scales.

  • Establish best practices for AI-first product management including discovery evaluation and launch standards.

  • Foster a culture of ownership technical curiosity and candid constructive debate.

Qualifications

• 10 years of product management experience with recent experience on AI-native or Applied-AI products.

• Proven track record building and shipping applied AI systems in production (e.g. RAG agents context/memory systems tool use).

• Strong intuition for how models retrieval context tools and UX work together to create reliable intelligence.

• Experience partnering closely with AI and infrastructure teams on real-world constraints (latency cost evals reliability).

• Systems thinker who can reason about complex technical architectures and translate them into clear product decisions.

• Excellent communicator who can align executives engineers researchers and GTM teams.

• Comfortable operating in ambiguity and making high-leverage decisions with imperfect information.

• Experience in GTM conversational AI or multimodal products is a strong plus.
  

Why Join Us

• Own product direction for a frontier applied AI platform not a wrapper around models.

• Build Superhumans that operate in real-time high-stakes customer interactions.

• Work deeply across context engineering retrieval memory and agentic workflows.

• High ownership direct impact and influence over company-level strategy.

Location: SF (U.S.) or NYC (U.S.) - hybrid
Employment Type: Full-time

1minds total compensation package is designed to be competitive and includes base salary bonus equity and a full range of benefits and perks. Final compensation will depend on factors such as your skills experience qualifications and will be determined during the interview process. The hiring manager will share more details about the full compensation package and benefits as you move through the process.

Please note that all legitimate communication from 1mind will come only from email addresses ending in @. We will never ask for payment financial information or personal details outside of our official application process. If you receive a suspicious message please disregard it and alert us at

Required Experience:

Director